Alternatives and similar repositories for hamburger-pytorch

Users that are interested in hamburger-pytorch are comparing it to the libraries listed below

• HuangxingLin123 / Learning-Rate-Dropout
  Pytorch implementation of Learning Rate Dropout.
  ☆42Updated 5 years ago
• knjcode / filter-response-normalization-layer-pytorch
  Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…
  ☆22Updated 5 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆122Updated 3 years ago
• vacancy / AdvancedIndexing-PyTorch
  (Batched) advanced indexing for PyTorch.
  ☆53Updated 5 months ago
• joe-siyuan-qiao / Batch-Channel-Normalization
  ☆49Updated 5 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• MerHS / SASA-pytorch
  Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)
  ☆44Updated 5 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆92Updated 2 years ago
• TengdaHan / ShuffleBN
  A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs
  ☆56Updated 3 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• Confusezius / CVPR2020_PADS
  (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …
  ☆61Updated 4 years ago
• facebookresearch / unnas
  Code for "Are labels necessary for neural architecture search"
  ☆92Updated last year
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• bamps53 / SeesawLoss
  ☆26Updated 4 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago
• lorenmt / shape-adaptor
  The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].
  ☆73Updated 4 years ago
• switchablenorms / Sparse_SwitchNorm
  Sparse Switchable Normalization with sparse activation function SparestMax
  ☆64Updated 5 years ago
• megvii-model / MABN
  ☆182Updated 2 years ago
• rosinality / vision-transformers-pytorch
  Implementation of various Vision Transformers I found interesting
  ☆84Updated 4 years ago
• sahajgarg / image_transformer
  Pytorch implementation of the image transformer for unconditional image generation
  ☆118Updated 10 months ago
• Wizaron / coord-conv-pytorch
  An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch
  ☆72Updated 6 years ago
• zhaohui-yang / LegoNet
  A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
  ☆140Updated 4 years ago
• MECLabTUDA / Super_Selfish
  ☆93Updated 4 years ago
• lucidrains / omninet-pytorch
  Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch
  ☆58Updated 4 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• ppwwyyxx / FRN-on-common-ImageNet-baseline
  Filter Response Normalization tested on better ImageNet baselines.
  ☆35Updated 5 years ago
• max-liu-112 / SRGANs-Spectral-Regularization-GANs-
  ☆11Updated 5 years ago
• mf1024 / Batch-Renormalization-PyTorch
  Batch Renormalization module for PyTorch based on paper https://arxiv.org/abs/1702.03275 .
  ☆16Updated 5 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆104Updated 3 years ago
• gupta-abhay / pytorch-frn
  Filter Response Normalization Layer in PyTorch
  ☆121Updated 5 years ago